Depiction of breast cancers on digital mammograms by artificial intelligence-based computer-assisted diagnosis according to cancer characteristics
Author:
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s00330-022-08718-2.pdf
Reference22 articles.
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3. Tabar L, Yen AM, Wu WY et al (2015) Insights from the breast cancer screening trials: how screening affects the natural history of breast cancer and implications for evaluating service screening programs. Breast J 21:13–20
4. Salim M, Dembrower K, Eklund M, Lindholm P, Strand F (2020) Range of radiologist performance in a population-based screening cohort of 1 million digital mammography examinations. Radiology 297:33–39
5. Kim H-E, Kim HH, Han B-K et al (2020) Changes in cancer detection and false-positive recall in mammography using artificial intelligence: a retrospective, multireader study. Lancet Digital Health 2:e138–e148
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